{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from influxdb import InfluxDBClient\n",
    "import talib\n",
    "import warnings\n",
    "from matplotlib import pyplot as plt\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [],
   "source": [
    "file = basedatapath+'HSI_min_to20210827.csv'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "client = InfluxDBClient('192.168.3.108',8086)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>time</th>\n",
       "      <th>close</th>\n",
       "      <th>high</th>\n",
       "      <th>low</th>\n",
       "      <th>open</th>\n",
       "      <th>preclose</th>\n",
       "      <th>symbol</th>\n",
       "      <th>value</th>\n",
       "      <th>vol</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2021-07-28T09:30:00Z</td>\n",
       "      <td>25356.74</td>\n",
       "      <td>25356.74</td>\n",
       "      <td>25356.74</td>\n",
       "      <td>25356.74</td>\n",
       "      <td>25086.43</td>\n",
       "      <td>HSI</td>\n",
       "      <td>8.689181e+09</td>\n",
       "      <td>345595858</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2021-07-28T09:31:00Z</td>\n",
       "      <td>25473.01</td>\n",
       "      <td>25520.75</td>\n",
       "      <td>25356.74</td>\n",
       "      <td>25356.74</td>\n",
       "      <td>25356.74</td>\n",
       "      <td>HSI</td>\n",
       "      <td>5.551441e+09</td>\n",
       "      <td>217580195</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2021-07-28T09:32:00Z</td>\n",
       "      <td>25464.28</td>\n",
       "      <td>25479.49</td>\n",
       "      <td>25412.11</td>\n",
       "      <td>25474.04</td>\n",
       "      <td>25473.01</td>\n",
       "      <td>HSI</td>\n",
       "      <td>3.901708e+09</td>\n",
       "      <td>149462498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2021-07-28T09:33:00Z</td>\n",
       "      <td>25460.62</td>\n",
       "      <td>25466.01</td>\n",
       "      <td>25451.47</td>\n",
       "      <td>25466.01</td>\n",
       "      <td>25464.28</td>\n",
       "      <td>HSI</td>\n",
       "      <td>1.416988e+09</td>\n",
       "      <td>43341999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2021-07-28T09:34:00Z</td>\n",
       "      <td>25436.95</td>\n",
       "      <td>25436.95</td>\n",
       "      <td>25436.95</td>\n",
       "      <td>25436.95</td>\n",
       "      <td>25086.43</td>\n",
       "      <td>HSI</td>\n",
       "      <td>4.770102e+07</td>\n",
       "      <td>1490906</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   time     close      high       low      open  preclose symbol         value        vol\n",
       "0  2021-07-28T09:30:00Z  25356.74  25356.74  25356.74  25356.74  25086.43    HSI  8.689181e+09  345595858\n",
       "1  2021-07-28T09:31:00Z  25473.01  25520.75  25356.74  25356.74  25356.74    HSI  5.551441e+09  217580195\n",
       "2  2021-07-28T09:32:00Z  25464.28  25479.49  25412.11  25474.04  25473.01    HSI  3.901708e+09  149462498\n",
       "3  2021-07-28T09:33:00Z  25460.62  25466.01  25451.47  25466.01  25464.28    HSI  1.416988e+09   43341999\n",
       "4  2021-07-28T09:34:00Z  25436.95  25436.95  25436.95  25436.95  25086.43    HSI  4.770102e+07    1490906"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rs = client.query(\"select * from rp_month.KlineMin1 where symbol='HSI'\", database=\"KlineIndex\")\n",
    "df = pd.DataFrame(rs.get_points())\n",
    "df.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "F:\\HQData\\HK\\Min1 创建成功\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "basedatapath = 'F:\\\\HQData\\\\HK\\\\Min1\\\\'\n",
    "def mkdir(path):\n",
    "    # 引入模块\n",
    "    import os\n",
    "    \n",
    "    # 去除首位空格\n",
    "    path=path.strip()\n",
    "    # 去除尾部 \\ 符号\n",
    "    path=path.rstrip(\"\\\\\")\n",
    "    # 判断路径是否存在\n",
    "    # 存在     True\n",
    "    # 不存在   False\n",
    "    isExists=os.path.exists(path)  \n",
    "\n",
    "    # 判断结果\n",
    "    if not isExists:\n",
    "        # 如果不存在则创建目录\n",
    "        # 创建目录操作函数\n",
    "        os.makedirs(path)\n",
    "        print( path+' 创建成功')\n",
    "        return True\n",
    "    else:\n",
    "        # 如果目录存在则不创建，并提示目录已存在\n",
    "        print (path+' 目录已存在')\n",
    "        return False\n",
    "\n",
    "mkdir(basedatapath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.to_csv(file)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "short_term = 1\n",
    "mid_term = 8\n",
    "log_term = 16"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [],
   "source": [
    "dfclose = pd.DataFrame()\n",
    "dfclose['time'] = pd.to_datetime(df['time']).apply(lambda x: x.replace(tzinfo=None))\n",
    "dfclose['close'] = df['close']\n",
    "dfclose = dfclose.set_index('time')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 7291 entries, 0 to 7290\n",
      "Data columns (total 9 columns):\n",
      " #   Column    Non-Null Count  Dtype  \n",
      "---  ------    --------------  -----  \n",
      " 0   time      7291 non-null   object \n",
      " 1   close     7291 non-null   float64\n",
      " 2   high      7291 non-null   float64\n",
      " 3   low       7291 non-null   float64\n",
      " 4   open      7291 non-null   float64\n",
      " 5   preclose  7291 non-null   float64\n",
      " 6   symbol    7291 non-null   object \n",
      " 7   value     7291 non-null   float64\n",
      " 8   vol       7291 non-null   int64  \n",
      "dtypes: float64(6), int64(1), object(2)\n",
      "memory usage: 512.8+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x23b69f31c70>"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [],
   "source": [
    "df08 = dfclose[dfclose.index > pd.to_datetime('2021-08-26 00:00:00')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>close</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>time</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2021-08-26 09:30:00</th>\n",
       "      <td>25673.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-08-26 09:31:00</th>\n",
       "      <td>25601.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-08-26 09:32:00</th>\n",
       "      <td>25622.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-08-26 09:33:00</th>\n",
       "      <td>25589.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-08-26 09:34:00</th>\n",
       "      <td>25594.7</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       close\n",
       "time                        \n",
       "2021-08-26 09:30:00  25673.8\n",
       "2021-08-26 09:31:00  25601.2\n",
       "2021-08-26 09:32:00  25622.4\n",
       "2021-08-26 09:33:00  25589.9\n",
       "2021-08-26 09:34:00  25594.7"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df08.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(15,10))\n",
    "fig = plt.plot(df08.close, 'g',label='close')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data = pd.read_csv(file,index_col=1)\n",
    "plot_curve({\"close\":data[\"close\"]})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [],
   "source": [
    "dic = {\"close\":data[\"close\"]}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "time\n",
      "2021-07-28T09:30:00Z    25356.74\n",
      "2021-07-28T09:31:00Z    25473.01\n",
      "2021-07-28T09:32:00Z    25464.28\n",
      "2021-07-28T09:33:00Z    25460.62\n",
      "2021-07-28T09:34:00Z    25436.95\n",
      "                          ...   \n",
      "2021-08-27T15:56:00Z    25383.62\n",
      "2021-08-27T15:57:00Z    25378.62\n",
      "2021-08-27T15:58:00Z    25385.46\n",
      "2021-08-27T15:59:00Z    25386.52\n",
      "2021-08-27T16:00:00Z    25407.89\n",
      "Name: close, Length: 7291, dtype: float64\n"
     ]
    }
   ],
   "source": [
    "\n",
    "for _ts_label, _ts_curve in dic.items():\n",
    "    #print(_ts_label)\n",
    "    \n",
    "    print(_ts_curve)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_curve(plot_dict):\n",
    "    \"\"\"\n",
    "    plot the net asset value curve\n",
    "    :param plot_dict: type--dict, {label name (str): time series data (pd.Series)}\n",
    "    :return: None\n",
    "    \"\"\"\n",
    "    import matplotlib.pyplot as plt\n",
    "    fig, ax = plt.subplots(figsize=(14, 8))\n",
    "    fig.patch.set_facecolor('white')\n",
    "    transparency_level = 1.\n",
    "    \n",
    "    for _ts_label, _ts_curve in plot_dict.items():\n",
    "        _ts_curve.plot(ax=ax, lw=1.5, label=_ts_label, alpha=transparency_level)\n",
    "    \n",
    "    ax.legend(loc='upper left', shadow=True)    \n",
    "\n",
    "    plt.show() "
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
